Cognite Data Fusionvs
Palantir Foundry
Palantir Foundry: Pick Foundry if you want a broader enterprise ontology platform and are not primarily solving a plant-data problem.
Cognite Data Fusion
Industrial data platform that contextualises OT, IT and engineering data into an asset-centric knowledge graph
As of 1 September 2026, Cognite Data Fusion's pricing is not published; the vendor quotes on request. A contextualisation layer, not a historian and not a data lake. Softwr lists it under Energy. Cognite Data Fusion is made by Cognite AS, available on Web, Cloud.
Overview
What Cognite Data Fusion does
Cognite Data Fusion ingests time series, equipment hierarchies, documents, P&IDs, 3D models, maintenance records and events, then links them into an asset-centric graph so that a pump has its sensors, its drawings, its work orders and its position in the 3D model attached to it. On top of that sits Cognite Atlas AI, a low-code environment for building industrial agents that query the graph and carry out multi-step tasks. Access is through a SaaS deployment on Azure, AWS or Google Cloud, with SDKs in Python, JavaScript and .NET. The distinguishing thing is the contextualisation layer, and that is also the commercial risk. Cognite does not compete with your historian; it sits above it. The value only appears once entity matching has connected tag names to equipment numbers, drawings have been parsed, and the graph reflects the plant. That work is a project, usually done with Cognite or a partner such as Accenture or Aker Solutions, and it is where the money and the timeline go. Cognite was spun out of Aker in Norway and its deepest reference base is upstream oil and gas and process, which shows in the data model and the partner network. Who buys it: large energy, chemicals, power and heavy manufacturing operators with a data team, an existing historian, and a mandate to make plant data usable across sites. The trade-off is that this is a platform purchase requiring in-house data engineering, not an application you switch on, and pricing is consumption-based and unpublished, which makes multi-year budgeting hard.
What people use it for
- An operator that wants engineers to find the drawing, the sensor trend and the last work order for a valve from one search
- A company standardising asset data across sites so an analytics team can build once and deploy to many plants
- An upstream operator building a production-optimisation model that needs sensor data joined to equipment metadata
- A team replacing a stalled internal data-lake project where nobody could reconstruct what the tag names meant
Related searches
The honest half
Where it falls short
Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Cognite Data Fusion.
- The platform is only as good as the contextualisation work, and that mapping effort is a consulting project that regularly costs more than the first-year subscription.
- Pricing is consumption-based and unpublished, so costs move with data volume and usage patterns you cannot forecast well until a year in.
- It does not replace your historian, your ERP or your maintenance system, so Cognite is an additional recurring cost layered on systems you still pay for.
- The reference base and data model lean heavily towards Norwegian and wider oil, gas and process industries; discrete manufacturing fit is weaker and the local partner network thinner outside energy.
- Getting value out requires in-house Python and data engineering skill; organisations without a data team end up dependent on Cognite professional services for every new use case.
Cross-shopped
What people choose instead of Cognite Data Fusion
Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.
- Cognite Data FusionvsAVEVA PI System
AVEVA PI System: Pick PI System if the actual gap is collecting and historising process data rather than contextualising it.
- Cognite Data FusionvsDatabricks
Databricks: Pick Databricks if you have a data team that would rather build the model themselves on open formats.
Pricing
What Cognite Data Fusion costs
Taken from the vendor's own pricing page. Prices move, so check before you buy.
Cognite Data Fusion
On request
- Consumption-based pricing on data volume, compute and users
- Available through cloud marketplaces with private offers
- Contextualisation and onboarding quoted as a separate engagement
- Atlas AI licensed on top of the core platform
Capabilities
Features
Asset-centric data model
Equipment hierarchy linking time series, documents, events, files and 3D geometry
Entity matching
Machine-learning assisted mapping of tag names, equipment numbers and document references
P&ID parsing
Extracts tags and symbols from engineering diagrams and links them to assets
3D contextualisation
Streams large plant models in the browser with sensor values attached to geometry
Cognite Atlas AI
Low-code builder for industrial agents that reason over the contextualised graph
Data workflows
Scheduled transformations and extractor orchestration for continuous ingestion
Open SDKs
Python, JavaScript and .NET clients plus a documented REST API
Extractors
Connectors for PI System, OPC UA, SAP, Maximo, databases and file shares
Answered, with sources
Questions people ask
Each answer names the page it came from, so you can check it rather than take our word for it.
Is Cognite a historian?
No. It reads from historians such as PI System and adds context. You still need the historian underneath.
How is it priced?
Consumption-based on data, compute and users, quoted per customer. Nothing is published.
How long does a deployment take?
First useful graph in a few months is realistic; full plant contextualisation across a site is typically a year or more.
Can we do the contextualisation ourselves?
Technically yes, the SDKs and matching tools are open, but most customers use Cognite or a partner for the first site.
Keep looking
Where to go from Cognite Data Fusion
- Cognite Data Fusion alternativesEvery product people weigh against it
- Cognite Data Fusion pricingPlans, floors and what the tiers exclude
- Cognite Data Fusion badgesWhich rules it meets, and the figure behind each
- All Energy softwareThe full category
- Best Energy softwareThe shortlist, and how it was cut
Best Energy software for
Compare Cognite Data Fusion with
- AVEVA PI System
- Novity
- AutoGrid Flex
- Bidgely UtilityAI
- OATI webSmartEnergy
- Stem Athena
- ABB Ability
- iHawk by Cyberhawk
- Wood Mackenzie Lens
- Bently Nevada System 1
- SolarWinds
- Cutsforth InsightCM
- Landis+Gyr Gridstream
- OSIsoft PI System
- P2 Energy Solutions
- Novity
- OATI webOASIS
- OATI webSmartEnergy
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Softwr does not host reviews and shows no star rating for Cognite Data Fusion, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.
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